滑动套筒和销钉台架试验后的几何表面纹理研究

Q3 Engineering Diagnostyka Pub Date : 2023-12-11 DOI:10.29354/diag/176074
K. Olejarczyk, M. Wikło
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引用次数: 0

摘要

目的是确定用于制造摆线齿轮的销和套筒的耐久性。所使用的方法基于对所选表面宏观照片的比较分析,以及在台架试验前后记录的代表性表面轮廓,以及在此基础上确定的 Ra 和 Rz 表面粗糙度值。在台架试验前后,测量了每个套筒和销钉的重量,记录了它们的表面轮廓,并拍摄了这些表面的微观照片。根据记录的每个表面轮廓,确定了粗糙度参数 Ra 和 Rz。套筒的低质量磨损和低表面粗糙度参数 Ra 和 Rz 证明了在摆线驱动结构中使用钢套筒的优势,即提高其耐用性。结果表明,销轴和套筒的适当精度是必要的。
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A geometrical surface texture study of sliding sleeves and pins after bench tests
Objectives was to determine the durability of pins and sleeves used in the construction of a cycloidal gear. The methods used were based on a comparative analysis of selected macro photos of their surfaces and representative surface profiles recorded before and after the bench tests and the Ra and Rz surface roughness values determined on their basis. Before and after the bench tests, the weight of each sleeve and pin was measured, their surface profiles were recorded and micro photos of these surfaces were taken. Based on each recorded surface profile, the roughness parameters Ra and Rz were determined. The advantages of using steel sleeves in the cycloidal drive structure, increasing its durability, have been demonstrated by the low mass wear of the sleeves and the low surface roughness parameters Ra and Rz. It was shown that the appropriate accuracy of the pins and sleeves is necessary.
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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